A wavelet approach to extracting contours of document images

L. Feng; Y.Y. Tang; L.H. Yang

doi:10.1109/ICDAR.1999.791727

A wavelet approach to extracting contours of document images

L. Feng, Y.Y. Tang, L.H. Yang

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

8 Citations (Scopus)

Abstract

In this paper, a new method for extracting contours of document images is proposed. It is a wavelet-based method that consists of three steps. First, by orthogonal wavelet decomposition, a document image is decomposed into a set of wavelet approximation and wavelet details. Next, contour extraction is achieved by applying a wavelet reconstruction technique. In the third step, a multiresolution-contours extraction with respect to an iteration wavelet reconstruction is implemented. A novel combination of multiresolution-contours results in clear contours of the document image. This reconstruction procedure is accompanied by an energy distribution estimation from which wavelet decomposition times can be adaptively controlled. Our method has no redundant operation compared to the scheme of wavelet transform. Therefore, the computational time and memory requirement are less than those by wavelet transform.

Original language	English
Title of host publication	Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR 1999
Editors	Bob Werner
Publisher	IEEE
Pages	71-74
Number of pages	4
ISBN (Print)	0769503187
DOIs	https://doi.org/10.1109/ICDAR.1999.791727
Publication status	Published - 22 Sept 1999
Event	5th International Conference on Document Analysis and Recognition. ICDAR 1999 - Bangalore, India Duration: 22 Sept 1999 → 22 Sept 1999 https://ieeexplore.ieee.org/xpl/conhome/6420/proceeding (Conference proceedings)

Conference

Conference	5th International Conference on Document Analysis and Recognition. ICDAR 1999
Country/Territory	India
City	Bangalore
Period	22/09/99 → 22/09/99
Internet address	https://ieeexplore.ieee.org/xpl/conhome/6420/proceeding (Conference proceedings)

User-Defined Keywords

Image reconstruction
Multiresolution analysis
Energy resolution
Wavelet analysis
Image edge detection
Wavelet transforms
Computer science
Mathematics
Sun
Ear

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10.1109/ICDAR.1999.791727

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title = "A wavelet approach to extracting contours of document images",

abstract = "In this paper, a new method for extracting contours of document images is proposed. It is a wavelet-based method that consists of three steps. First, by orthogonal wavelet decomposition, a document image is decomposed into a set of wavelet approximation and wavelet details. Next, contour extraction is achieved by applying a wavelet reconstruction technique. In the third step, a multiresolution-contours extraction with respect to an iteration wavelet reconstruction is implemented. A novel combination of multiresolution-contours results in clear contours of the document image. This reconstruction procedure is accompanied by an energy distribution estimation from which wavelet decomposition times can be adaptively controlled. Our method has no redundant operation compared to the scheme of wavelet transform. Therefore, the computational time and memory requirement are less than those by wavelet transform.",

keywords = "Image reconstruction, Multiresolution analysis, Energy resolution, Wavelet analysis, Image edge detection, Wavelet transforms, Computer science, Mathematics, Sun, Ear",

author = "L. Feng and Y.Y. Tang and L.H. Yang",

note = "Funding Information: This work was supported by research grants received from University Grant Council (UGC) of Hong Kong, and Faculty Research Grant (FRG) of Hong Kong Baptist University. Publisher copyright: {\textcopyright} 1999 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.; 5th International Conference on Document Analysis and Recognition. ICDAR 1999 ; Conference date: 22-09-1999 Through 22-09-1999",

year = "1999",

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doi = "10.1109/ICDAR.1999.791727",

language = "English",

isbn = "0769503187",

pages = "71--74",

editor = "Bob Werner",

booktitle = "Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR 1999",

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Feng, L, Tang, YY & Yang, LH 1999, A wavelet approach to extracting contours of document images. in B Werner (ed.), Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR 1999., 791727, IEEE, pp. 71-74, 5th International Conference on Document Analysis and Recognition. ICDAR 1999, Bangalore, India, 22/09/99. https://doi.org/10.1109/ICDAR.1999.791727

TY - GEN

T1 - A wavelet approach to extracting contours of document images

AU - Feng, L.

AU - Tang, Y.Y.

AU - Yang, L.H.

N1 - Funding Information: This work was supported by research grants received from University Grant Council (UGC) of Hong Kong, and Faculty Research Grant (FRG) of Hong Kong Baptist University. Publisher copyright: © 1999 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.

PY - 1999/9/22

Y1 - 1999/9/22

N2 - In this paper, a new method for extracting contours of document images is proposed. It is a wavelet-based method that consists of three steps. First, by orthogonal wavelet decomposition, a document image is decomposed into a set of wavelet approximation and wavelet details. Next, contour extraction is achieved by applying a wavelet reconstruction technique. In the third step, a multiresolution-contours extraction with respect to an iteration wavelet reconstruction is implemented. A novel combination of multiresolution-contours results in clear contours of the document image. This reconstruction procedure is accompanied by an energy distribution estimation from which wavelet decomposition times can be adaptively controlled. Our method has no redundant operation compared to the scheme of wavelet transform. Therefore, the computational time and memory requirement are less than those by wavelet transform.

AB - In this paper, a new method for extracting contours of document images is proposed. It is a wavelet-based method that consists of three steps. First, by orthogonal wavelet decomposition, a document image is decomposed into a set of wavelet approximation and wavelet details. Next, contour extraction is achieved by applying a wavelet reconstruction technique. In the third step, a multiresolution-contours extraction with respect to an iteration wavelet reconstruction is implemented. A novel combination of multiresolution-contours results in clear contours of the document image. This reconstruction procedure is accompanied by an energy distribution estimation from which wavelet decomposition times can be adaptively controlled. Our method has no redundant operation compared to the scheme of wavelet transform. Therefore, the computational time and memory requirement are less than those by wavelet transform.

KW - Image reconstruction

KW - Multiresolution analysis

KW - Energy resolution

KW - Wavelet analysis

KW - Image edge detection

KW - Wavelet transforms

KW - Computer science

KW - Mathematics

KW - Sun

KW - Ear

U2 - 10.1109/ICDAR.1999.791727

DO - 10.1109/ICDAR.1999.791727

M3 - Conference proceeding

SN - 0769503187

SP - 71

EP - 74

BT - Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR 1999

A2 - Werner, Bob

PB - IEEE

T2 - 5th International Conference on Document Analysis and Recognition. ICDAR 1999

Y2 - 22 September 1999 through 22 September 1999

ER -

A wavelet approach to extracting contours of document images

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